El objetivo de este trabajo es evaluar ex-ante el efecto de un sistema de concesión de infraestructura pública sobre el costo directo de producción agrícola en una zona objeto de mejoramiento del riego. La metodología consideró la aplicación de una encuesta a potenciales beneficiarios, que recoja datos sobre su percepción, disposición a pagar y planes productivos en un nuevo escenario para el riego, contrastándolos con el impacto en el margen bruto resultante del consumo eventual de agua.
Situate within new institutionalism literature, this paper builds a complex system model of institutional analysis for adaptive governance. This model combines Young’s institutional environmental analysis method, elements of subsequent environmental governance projects models, and ideas of multiple institutional levels and drivers. By applying the model, policy instruments are identified that build agricultural producer livelihoods improving their adaptive capacity to respond to climate change and drought.
In this paper the authors provide climate smart agriculture (CSA) planners and implementers at all levels with a generic framework for evaluating and prioritising potential interventions. This entails an iterative process of mapping out recommendation domains, assessing adoption potential and estimating impacts. Through examples, related to livestock production in sub-Saharan Africa, they demonstrate each of the steps and how they are interlinked. The framework is applicable in many different forms, scales and settings.
In developing regions with high levels of poverty and a dependence on climate sensitive agriculture, studies focusing on climate change adaptation, planning, and policy processes, have gained relative importance over the years. This study assesses the impact of farmer perceptions regarding climate change on the use of sustainable agricultural practices as an adaptation strategy in the Chinyanja Triangle, Southern Africa.
Climate variability and change threaten and impact negatively on biodiversity, agricultural sustainability, ecosystems, and economic and social structures – factors that are all vital for human resilience and wellbeing. To cope with these challenges, embracing sustainability in food production is therefore essential. Practising sustainable agriculture is one way of ensuring sustainability in pro-poor farming communities in low-income countries.
Background: Up to now, efforts to help local communities out of the food-insecurity trap were guided by researcher (or other actors)-led decisions on technologies to be implemented by the communities. This approach has proved inefficient because of low adoption of the so-called improved technologies. This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal.
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of natural hazards. Another problem of changes in the Earth's climate is its impact in the agriculture production. In this scenario, application of statistical models as well as development of new methods become very important to aid in the analyses of climate from ground-based stations and outputs of forecasting models. Additionally, remote sensing images have been used to improve the monitoring of crop yields.
C’est en 1954 que les paysans de la Commune rurale de l’Imanan, située dans l’Ouest du Niger, ont commencé la culture de pomme de terre. Partie d’une simple culture d’appoint associée à d’autres spéculations, la production de pomme de terre fait maintenant partie intégrante des systèmes de productions locaux. C’est la principale stratégie adaptative des paysans pour faire face aux crises alimentaires.
Les conséquences sur les territoires des changements climatiques d’origine anthropique sont variables dans leurs expressions comme dans leurs effets, et les territoires sont inégaux face à ces variations climatiques en termes d’exposition aux effets (fonction de facteurs physiques, sociaux, économiques, culturels, politiques, etc.) comme en termes de capacité de réponse (capacité d’appréhension, d’anticipation, de réparation, etc.).